Docs over SSH for Agents
Coding agents spend a lot of time in the shell. When exploring a codebase, they usually reach for the same handful of tools: grep, find, ls, cat. We built a public SSH server that hosts Supabase docs as markdown files so that agents can explore them the same way they explore code: ssh supabase.sh grep -rl 'RLS' docs ssh supabase.sh cat docs/guides/database/postgres/row-level-security.md | head -10 Under the hood commands run inside Vercel's just-bash [1] library - an emulated bash shell sandboxed within the JS runtime. It uses a VFS where the docs are mounted as markdown…
Docs over SSH for Agents launched on April 1, 2026 with 9 votes, #1,315 of 21,248 launches that month and more than 75% of that year's launches.
What it does
Supabase docs over SSH. Contribute to supabase-community/supabase-ssh development by creating an account on GitHub.
ssh supabase.sh < grep/cat/etc > /supabase/docs/... Docs are up-to-date and served as markdown files so agents can explore them the same way they explore code. ssh supabase.sh agents >> AGENTS.md # or CLAUDE.md, GEMINI.md, etc This outputs a lightweight markdown snippet and appends it to the end of your AGENTS.md file. The snippet tells your agent to check the docs before working with Supabase, keeping it grounded in current docs and less likely to hallucinate. Coding agents spend a lot of time in the shell. When exploring a codebase, they tend to reach for the same handful of tools: grep, find, ls, cat. These models are trained heavily on shell usage, so they treat the file system as a…from github.com
In the maker’s words, at launch
Coding agents spend a lot of time in the shell. When exploring a codebase, they usually reach for the same handful of tools: grep, find, ls, cat. We built a public SSH server that hosts Supabase docs as markdown files so that agents can explore them the same way they explore code: ssh supabase.sh grep -rl 'RLS' docs…
Does a similar job
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Pu.sh – a full coding-agent harness in 400 lines of shellApr 2026 · pu.dev · ▲92I originally was just messing with pi-autoresearch. Gave it a sample task to build the most portable coding agent. First cut was 6 KB of shell. Great for one-shots, unusable interactively. I was shocked it actually worked. Started building up -- adding features — but with a self-imposed rule: no new dependencies, and sub 500 LOC. This thing had to be truly portable. Just sh, curl, awk. System primitives only. Which means I did some genuinely disgusting things in awk, including JSON parsing and the OpenAI Responses tool loop with reasoning items carried across turns. It's now ~400 lines. In…

Moxie Docs: KnowledgebasesJul 2026 · moxiedocs.com · ▲168Built this because I'm sick of keeping documentation up to date when everyone's using AI tools now. It will not only generate missing docs / update / remove docs as they need alignment, but you can hook up the MCP to whatever agent is being used these days and it'll inform it of codebase conventions & relevant documentation, telling it to update docs as it find them or as it makes changes (in the same PR as related work), and reduces spend on tokens by getting things right the first time without having to grep the whole codebase for context or go through 5 rounds of "follow our…
SuperHQApr 2026 · superhq.ai · ▲95Hey HN, I built SuperHQ, an app that lets you run coding agents in local sandboxes (powered by Shuru). No custom UI wrapping the agents, they run as CLI/TUI like they were designed to. It just provides you the tools most of us (okay, maybe just me?) needed for running multiple coding agents in parallel without worrying about breaking your system or work environment. Each agent runs in its own microVM. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a unified diff view to accept or discard changes. API keys never enter the sandbox, they…
termiqueJun 2026 · termique.app · ▲90A free SSH client for Mac, Windows and Linux. Every host in one place, with end-to-end encrypted sync, SFTP, SSH key management, and an AI terminal assistant.
Run coding agents in microVM sandboxes instead of your host machineApr 2026 · github.com · ▲63Hi HN, we built SuperHQ, an open source app that runs AI coding agents in isolated microVM sandboxes instead of directly on your machine. Each agent gets its own VM with a full Debian environment. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a diff view to accept or discard changes. API keys never enter the sandbox. We also just launched remote.superhq.ai which acts as a remote control for SuperHQ, allowing you to access your workspaces and agents from anywhere.
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Source: Show HN post ↗ · launch text quoted in part
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